Lazy Import in Python : Pyforest

python Sep 04, 2019

In most of our Data Science projects, we do import at the beginning of the project that goes something like this 😀.

Not exactly, but something like this

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import sklearn
from sklearn.preprocessing import OneHotEncoder
from sklearn.manifold import TSNE
from sklearn.cross_validation import train_test_split
from sklearn.ensemble import GradientBoostingClassifier
import sys
import os
import re
import glob
from pathlib import Path
import pickle
import datetime as dt

The list goes on and on if you are dealing with complex projects. we want to use  Data Science libraries which  accounts for >99% of our daily imports. For example, pandas as pd, numpy as np, seaborn as sns, matplotlib.pyplot as plt, or OneHotEncoder from sklearn, datetime as dt, and many more. In addition, there are also helper modules like os, re, tqdm, or Path from pathlib. So let's learn and explore about a project called pyforest. It is almost python equivalent of code

include bits/stdc++.h

but  way smarter than this.

Pyforest lazy-imports all popular Python Data Science libraries so that they are always there in your work environment when you need them this is also known as lazy import in python. If you don't use a library or any of its method or function, it won't be imported. When you are done with your script, you can export the Python code for the import statements for later use.

Check out this demo I’ve taken from the library’s GitHub repository:



You need Python 3.6 or higher to run this package.

From the terminal, enter:

pip install pyforest

And you're ready to go.

Please note, that this will also add pyforest to your IPython default startup settings. pyforest will be automatically added in your environment during startup

Using pyforest

from pyforest import *

And if you use Jupyter or IPython, you can even skip this line because pyforest will be itself added to the autostart.

When you are done with your script, you can export all import statements via:

All the libraries used

You can see an overview of all available lazy imports if you just type lazy_imports() in Python.

All the available imports

If you are missing an import, you can add it to the pyforest imports  by following contribution guidelines.

Excited yet? pyforest currently includes pandas, NumPy, matplotlib, and many more data science libraries and it's regularly managed by developers.

Please visit official github page for contribution and support

We've also provided video lecture for the same



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sheetala tiwari

I am passionate about Data Science and Machine Learning. I am currently building an AI community on DataDiscuss and we are committed to providing free access to education for everyone.